Triple
T24530004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazil Basin |
E606774
|
entity |
| Predicate | hasBottomCurrent |
P156622
|
FINISHED |
| Object | deep western boundary current |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: deep western boundary current | Statement: [Brazil Basin, hasBottomCurrent, deep western boundary current]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBottomCurrent Context triple: [Brazil Basin, hasBottomCurrent, deep western boundary current]
-
A.
hasCurrent
Indicates that an entity presently possesses, exhibits, or is associated with a particular state, attribute, or resource at the current time.
-
B.
hasBottomness
Indicates that one entity occupies or represents the lower or bottom position relative to another entity.
-
C.
hasBottomWater
Indicates that an entity contains or is associated with water specifically located at its bottom or lowest part.
-
D.
hasBottomSubstrate
Indicates that one entity serves as the underlying or supporting substrate or base layer for another entity.
-
E.
hasBottomScreenSize
Indicates that an entity has a bottom screen whose size (e.g., dimensions or diagonal measurement) is specified by the related value or object.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:25 a.m.